Connectomics and new approaches for analyzing human brain functional connectivity

GigaScience

Michael P Milham¹  Rosalia L Tungaraza²  R Cameron Craddock¹ 

[1]Center for the Developing Brain, Child Mind Institute, 445 Park Ave, New York 10022, New York, USA

[2]Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, 140 Old Orangeburg Rd, Orangeburg 10962, New York, USA

关键词: Open science;    Open data;    Brain graphs;    Functional MRI;    Human connectome;   

Others  :  1149286
DOI  :  10.1186/s13742-015-0045-x

 received in 2014-11-20, accepted in 2015-01-18,  发布年份 2015

【 摘 要 】

Estimating the functional interactions between brain regions and mapping those connections to corresponding inter-individual differences in cognitive, behavioral and psychiatric domains are central pursuits for understanding the human connectome. The number and complexity of functional interactions within the connectome and the large amounts of data required to study them position functional connectivity research as a “big data” problem. Maximizing the degree to which knowledge about human brain function can be extracted from the connectome will require developing a new generation of neuroimaging analysis algorithms and tools. This review describes several outstanding problems in brain functional connectomics with the goal of engaging researchers from a broad spectrum of data sciences to help solve these problems. Additionally it provides information about open science resources consisting of raw and preprocessed data to help interested researchers get started.

【 授权许可】

   
2015 Craddock et al.; licensee BioMed Central.

【 图 表 】

Figure 1.

Figure 2.

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